Evidence map›Paper›PMID 40883325›Full record

ArticleScientific data2025

Environmental Footprint and Nutritional Intake of 1,000 Cantonese and Sichuan Dishes in China.

Yin Long, Liqiao Huang, Qingling Wang, Yifan Li, Zhimin Shi, Shiqi Tan, Minjun Shi, Hong Chen, Liming Yao, Yoshikuni Yoshida

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yin Long *Graduate School of Engineering, The University of Tokyo, Tokyo, 1138654, Japan. longyinutokyo@gmail.com.ORCID 0000-0002-6761-9735
Liqiao Huang *Graduate School of Engineering, The University of Tokyo, Tokyo, 1138654, Japan.
Qingling Wang *College of Economics and Management, Northwest A&F University, Yangling, 712100, China.ORCID 0009-0002-0499-7496
Yifan LiGraduate School of Engineering, The University of Tokyo, Tokyo, 1138654, Japan.
Zhimin ShiState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China.
Shiqi TanBusiness School, Sichuan University, Chengdu, 610065, China.
Minjun ShiSchool of Public Affairs, Zhejiang University, Hangzhou, 310058, China.
Hong ChenSchool of Business, Jiangnan University, Wuxi, 214122, China.
Liming YaoBusiness School, Sichuan University, Chengdu, 610065, China.ORCID 0000-0003-4596-0366
Yoshikuni YoshidaGraduate School of Engineering, The University of Tokyo, Tokyo, 1138654, Japan.ORCID 0000-0002-8834-8671

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) JP23K11542
6 · The paper itself

Abstract

Transforming diets toward sustainability requires more than broad recommendations, which begin with a detailed understanding of what people eat. In many cultures, especially in Asia, food is consumed in the form of complex, culturally specific dishes rather than isolated ingredients. Yet, most existing assessments of dietary sustainability remain disconnected from how meals are experienced in daily life. Here, we develop a comprehensive dataset capturing both the nutritional composition and environmental footprints of 1,000 recipes from Sichuan and Cantonese cuisines, two of the most influential and widely consumed culinary traditions in China. We combine ingredient-level nutritional analysis with life cycle assessments that account for emissions, land use, and water consumption across production, transportation, and cooking. Our data reveal large intra-cuisine variation in health and sustainability metrics, shaped by ingredient combinations and cooking techniques. By aligning real-world culinary practices with quantitative sustainability metrics, this dataset lays the groundwork for culturally grounded dietary transitions and supports a new generation of food policy, public guidance, and behavioral research rooted in dietary habits.

Indexed as

CookingDietEnvironmentNutritive ValueChinaHumans

Identifiers

PMID40883325
PMCPMC12397322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.